Connectionists: Contemporary neural network modeling in cognitive science (call for abstracts)

[Stefan Frank]

The journal /Frontiers in Psychology/ (section /Cognitive Science/) is 
organizing a special issue ("Research Topic") on Contemporary Neural 
Network Modeling in Cognitive Science, edited by Stefan Frank, Dan 
Mirman, and James McClelland. This Research Topic aims to further the 
continued application of neural network models to address topics in 
cognitive science and cognitive neuroscience. It will highlight how the 
latest developments in neural network models can be applied to 
understanding cognitive and neural processes, and it aims to stimulate 
further cognitive computational research using the tools, methods, and 
insights from contemporary neural network research in machine learning 
and artificial intelligence, while also providing a forum for the 
presentation of more traditional modeling efforts of high quality.

Submissions that report new advances in neural network architectures or 
methods, apply neural networks to more life-like cognitive tasks and 
larger-scale data sets, or bridge across different levels of analysis, 
will be particularly encouraged. Most papers will present research using 
neural networks to simulate cognitive processes such as perception, 
memory, and language; and to account for behavioral and/or neuroimaging 
data. Methods, Protocols, and Technology Reports that describe how to 
implement neural networks will also be welcome.

The deadline for abstract submission is December 1st 2016. Authors of 
accepted abstracts will be invited to submit a full paper by June 1st 
2017. For more information and abstract submission instructions, please 
visit
http://journal.frontiersin.org/researchtopic/5385/contemporary-neural-network-modeling-in-cognitive-science
or
https://sites.google.com/site/ncpw15/frontiers-research-topic


-- 
Stefan Frank
Honorary Senior Research Associate
Division of Psychology and Language Sciences
University College London
www.stefanfrank.info

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